Business Intelligence Developer/ Analyst

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Joining Capgemini Engineering...

As a Business Intelligence Developer/Analyst, you will be a key contributor to an exciting technology project at a client site in Lisbon, working at the intersection of data, analytics, and business insight. In a hybrid working model, you will help organisations make better decisions by turning complex data into clear, actionable intelligence.

• Designing, developing, and maintaining Power BI reports and dashboards, leveraging Tabular models to deliver clear and impactful data visualisations for business stakeholders
• Building and optimising data pipelines and queries using MS SQL Server, ensuring data accuracy, performance, and reliability across BI solutions
• Using Python to support data processing, automation, and analytical tasks, contributing to the overall quality and efficiency of data workflows
• Collaborating closely with business teams and data owners to gather requirements, understand data needs, and translate them into robust and scalable BI solutions
• Identifying data quality issues and contributing to continuous improvement initiatives, ensuring that reporting and analytics outputs meet the highest standards of accuracy and relevance

We are looking for a detail-oriented and analytically minded BI professional who takes pride in delivering quality work and thrives in a collaborative, fast-paced environment.

• A minimum of 3 years of experience in a Business Intelligence or Data Analyst/Developer role, with strong hands-on proficiency in Power BI and Tabular models
• Solid working knowledge of MS SQL Server, including query writing, data modelling, and performance optimisation in production environments
• Practical experience with Python for data manipulation, automation, or analytical purposes, with a structured and quality-focused approach to problem solving
• Strong analytical skills and attention to detail, with the ability to critically assess data, identify inconsistencies, and drive improvements with rigour and precision
• A collaborative and adaptable team player, able to communicate effectively with both technical and non-technical stakeholders, and comfortable working in a hybrid, client-facing environment

• Free access to learning platforms - Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
• Digital campuses and academy - Our engineering academy offers more than 60,000 hours of training, as also our digital campus on GenAI, data or sustainability, support digital learning in the flow of work from awareness to expert certifications.
• Hybrid working - We encourage flexibility when it comes to when and where work gets done. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.
• Engineering Horizons - A global conference crafted exclusively for Capgemini Engineering colleagues, where excellence takes centre stage. Immerse yourself in opportunities to showcase your talents and connect with the brightest minds in engineering across the planet.

Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries.